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Spatial disaggregation of poverty and disability: application to Tanzania

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  • Tomoki Fujii

    (Singapore Management University)

Abstract

Estimating poverty measures for disabled people in developing countries is often difficult, partly because relevant data are not readily available. We extend the small-area estimation developed by Elbers, Lanjouw and Lanjouw (2002, 2003) to estimate poverty by the disability status of the household head, when the disability status is unavailable in the survey. We propose two alternative approaches to this extension: Aggregation and Instrumental Variables Approaches. We apply these approaches to data from Tanzania and show that both approaches work. Our estimation results show that disability is indeed positively associated with poverty in every region of mainland Tanzania.

Suggested Citation

  • Tomoki Fujii, 2024. "Spatial disaggregation of poverty and disability: application to Tanzania," Empirical Economics, Springer, vol. 66(2), pages 705-734, February.
    • Handle: RePEc:spr:empeco:v:66:y:2024:i:2:d:10.1007_s00181-023-02478-8
    DOI: 10.1007/s00181-023-02478-8
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    More about this item

    Keywords

    Poverty; Disability; Tanzania; Aggregation; Two-sample instrumental variables estimation;
    All these keywords.

    JEL classification:

    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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